Evidence-based modeling of critical illness: an initial consensus from the Society for Complexity in Acute Illness.
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Insights into the Role of Chemokines, Damage-Associated Molecular Patterns, and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced InflammationMultiscale models of angiogenesisModeling longitudinal data in acute illness.Agent-based models in translational systems biology.A Chemical Engineer's Perspective on Health and DiseaseIn Silico Augmentation of the Drug Development Pipeline: Examples from the study of Acute Inflammation.Mechanistic systems biology of inflammatory gene expression in airway smooth muscle as tool for asthma drug development.Translational systems approaches to the biology of inflammation and healing.Computational approaches for translational clinical research in disease progression.Sepsis: Something old, something new, and a systems view.Systems modeling and simulation applications for critical care medicine.Sepsis: from pattern to mechanism and back.Translational systems biology of inflammation and healing.Translational systems biology: introduction of an engineering approach to the pathophysiology of the burn patientDetailed qualitative dynamic knowledge representation using a BioNetGen model of TLR-4 signaling and preconditioningMechanistic simulations of inflammation: current state and future prospects.In silico design of treatment strategies in wound healing and bone fracture healing.Use of models in identification and prediction of physiology in critically ill surgical patients.A clinical comparison of penetrating and blunt traumatic brain injuries.Energy coupling in Saccharomyces cerevisiae: selected opportunities for metabolic engineering.Computational modelling of the inflammatory response in trauma, sepsis and wound healing: implications for modelling resilience.Combined in silico, in vivo, and in vitro studies shed insights into the acute inflammatory response in middle-aged miceNETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.A Systems Engineering Perspective on Homeostasis and Disease.
P2860
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P2860
Evidence-based modeling of critical illness: an initial consensus from the Society for Complexity in Acute Illness.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@ast
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@en
type
label
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@ast
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@en
prefLabel
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@ast
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@en
P2093
P2860
P1476
Evidence-based modeling of cri ...... r Complexity in Acute Illness.
@en
P2093
C Anthony Hunt
Gilles Clermont
John Bartels
John Hotchkiss
Rolf Lefering
Ruediger Seydel
Shlomo Ta'asan
Yoram Vodovotz
P2860
P356
10.1016/J.JCRC.2006.12.001
P577
2007-03-01T00:00:00Z